Agentic AI is changing how software behaves — agents don’t just respond, they act, decide, and operate autonomously across systems and data. That shift introduces a new class of risks that traditional security, compliance, and governance models were never designed to handle.
This session focuses on the real-world challenges that emerge when AI agents become active participants in the enterprise — from data overexposure and hallucinations to agent sprawl, unclear accountability, and governance blind spots. Rather than diving into code or promoting a specific platform, we’ll examine common failure patterns, lessons learned from early deployments, and the guardrails agent builders need to think about from day one.
Attendees will leave with a clearer understanding of:

Why every AI agent is effectively a new endpoint
Where governance breaks down as agents scale
What responsible agent design looks like in practice
How builders can balance autonomy, trust, and control without slowing innovation

This session is designed for AI builders, architects, and platform teams who want to move fast — without breaking trust.